itlife365点com分享AI 绘画核心技术与实战-8周实现商用级图像特效 by itlife365点com
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
curriculum design
The course is divided into four modules.
Warm up section
Embark on an AI painting journey, familiarize yourself with various AI painting tools and models, install and deploy WebUI, experience the gameplay of Midjourney and LoRA, and explore the infinite potential of AI painting.
Basic Chapter
In depth analysis of the "black magic" behind AI painting allows you to truly understand the theoretical and technical foundations that AI algorithm practitioners need to master, understand the entire process of image generation transitioning from GAN to diffusion model, and master the algorithm principles of each module of diffusion model. At the end of this module, you will also train a diffusion model yourself to prepare for further advanced learning.
Advanced
Understand mainstream model technology solutions, including the latest and hottest models in the industry such as DALL-E 2, Imagen, Stable Diffusion, DeepFloyd, Midjourney, etc. By mastering the learning methods of such technologies, you will be able to apply them to new AI drawing papers, codes, and models in the future. This section will also take you to train a diffusion model, laying a solid foundation for future practical exercises.
Comprehensive exercise section
Based on what you have learned earlier, we will guide you to try various AI painting projects, including training DreamBooth and LoRA models, using ControlNet to finely control content generation, creating album like effects similar to LensaAI, and using Stable Diffusion to render various styles of your photos, etc. Finally, we will also share cutting-edge applications related to AI vision to help broaden your horizons.
By completing the entire course, you will not only be able to establish your own AI painting technology knowledge system, but also have the ability to train your own exclusive models and achieve commercial level image effects. The knowledge map of the course is shown below.
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd《AI绘画核心技术与实战》课程大纲
开篇词|AI技术爆发，如何实现绘画模型自由？
先导篇
|先睹为快，AI绘画作品集
热身篇：AI绘画初体验
01 WebUl：免费AI绘画工具箱的N大绘图功能
02 Prompt使用技巧：如何更精准地控制绘画风格和内容？
03 进阶应用：图生图技巧与创作社区初探
04 实战项目（一）：用LoRA制作一个你自己的漫画故事
基础篇：AI绘画原理揭秘
05 旧画师GAN：天生有缺陷还是学艺不精湛？
06 颠覆者扩散模型：直观去理解加噪与去噪
07 AIGC的核心魔法：搞懂Transformer
08 巧用神经网络：如何用UNet预测噪声？
09 采样器：龟兔赛跑，如何选择更好更快的采样器？
10 CLIP：如何让AI绘画模型听你的话？
VAE系列：如何压缩图像给GPU腾腾地方？
11
实战项目（二）：动手训练一个你自己的扩散模型
12
答疑课堂1|热点问题答疑&前两章思考题答案
直播回放|AI绘画发展脉络与LoRA模型训练实战
进阶篇：从DALL-E 2到Stable Diffusion
13
前浪DALL-E 2：帮你魔改经典画作
挑战者Imagen：为什么会后来居上？
14
15
显微镜下的Stable Diffusion（一）：惊艳效果下的关键
技术揭秘
16
显微镜下的Stable Diffusion
（二）：从图像变体到神雕侠侣
17
巅峰画师Midjourney：一起猜猜年入1亿美元背后的技术
方案
综合演练篇：AI绘画高手养成计划
18 DreamBooth和LoRA：低成本实现IP专属的AI绘画模型
19 实战项目（三）：动手做一个自己的LoRA模型
20 ControlNet：出道即巅峰，构图控制没有对手
21 实战项目（四）：用ControlNet给你的创意上色
22 AI图像编辑：如何用Prompt2Prompt实现“言出法随”
23 实战项目（五）：做一个类似LensaAl的
《AI绘画核心技术与实战》课程大纲
开篇词|AI技术爆发，如何实现绘画模型自由？
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
先导篇
|先睹为快，AI绘画作品集
热身篇：AI绘画初体验
01 WebUl：免费AI绘画工具箱的N大绘图功能
02 Prompt使用技巧：如何更精准地控制绘画风格和内容？
03 进阶应用：图生图技巧与创作社区初探
04 实战项目（一）：用LoRA制作一个你自己的漫画故事
基础篇：AI绘画原理揭秘
05 旧画师GAN：天生有缺陷还是学艺不精湛？
06 颠覆者扩散模型：直观去理解加噪与去噪
07 AIGC的核心魔法：搞懂Transformer
08 巧用神经网络：如何用UNet预测噪声？
09 采样器：龟兔赛跑，如何选择更好更快的采样器？
10 CLIP：如何让AI绘画模型听你的话？
VAE系列：如何压缩图像给GPU腾腾地方？
11 实战项目（二）：动手训练一个你自己的扩散模型
12 答疑课堂1|热点问题答疑&前两章思考题答案
直播回放|AI绘画发展脉络与LoRA模型训练实战
进阶篇：从DALL-E 2到Stable Diffusion
13 前浪DALL-E 2：帮你魔改经典画作
14挑战者Imagen：为什么会后来居上？
15 显微镜下的Stable Diffusion（一）：惊艳效果下的关键
技术揭秘
16显微镜下的Stable Diffusion
（二）：从图像变体到神雕侠侣
17巅峰画师Midjourney：一起猜猜年入1亿美元背后的技术
方案
综合演练篇：AI绘画高手养成计划
18 DreamBooth和LoRA：低成本实现IP专属的AI绘画模型
19 实战项目（三）：动手做一个自己的LoRA模型
20 ControlNet：出道即巅峰，构图控制没有对手
21 实战项目（四）：用ControlNet给你的创意上色
22 AI图像编辑：如何用Prompt2Prompt实现“言出法随”
23 实战项目（五）：做一个类似LensaAl的
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
Course Outline of "Core Technology and Practical Application of AI Painting"
Opening words | How to achieve the freedom of painting models with the explosion of AI technology?
Leading article
|Get a sneak peek, AI painting portfolio
Warm up article: Initial experience of AI painting
01 WebUl: N Large Drawing Functions of Free AI Drawing Toolbox
02 Prompt usage tips: How to more accurately control painting style and content?
03 Advanced Application: Exploring the Techniques of Creating Images and Creating Communities
04 Practical Project (1): Creating Your Own Manga Story with LoRA
Basic article: Unveiling the principles of AI painting
05 Old painter GAN: Are you born with defects or are you not skilled in learning?
06 Disruptor Diffusion Model: Intuitively Understanding Additive and Denoising
07 AIGC's Core Magic: Understanding Transformer
08 Clever Use of Neural Networks: How to Use UNet to Predict Noise?
09 Sampler: Turtle and Rabbit Race, How to Choose a Better and Faster Sampler?
10 CLIP: How to make AI painting models listen to you?
VAE series: How to compress images for GPU processing?
eleven
Practical Project (2): Hands on Training of Your Own Diffusion Model
twelve
Q&A Classroom 1 | Hot Topic Q&A&Answers to Reflection Questions in the First Two Chapters
Live replay | Development of AI painting and practical training of LoRA model
Advanced article: From DALL-E 2 to Stable Diffusion
thirteen
Previous Wave DALL-E 2: Help You Magic Change Classic Paintings
Challenger Imagen: Why did they come from behind?
fourteen
fifteen
Stable Diffusion under a Microscope (Part 1): The Key to Stunning Effects
Technology Unveiled
sixteen
Stable Diffusion under Microscope
（2） From Image Variants to The Return of the Condor Heroes
seventeen
Midjourney: Guess the Technology Behind Annual Income of $100 Million Together
programme
Comprehensive Exercise: AI Painting Master Development Plan
18 DreamBooth and LoRA: Low cost implementation of IP exclusive AI painting models
19 Practical Project (3): Build your own LoRA model by hand
20 ControlNet: Peak at debut, unmatched in composition control
21 Practical Project (4): Coloring Your Ideas with ControlNet
22 AI Image Editing: How to Use Prompt2Prompt to Achieve "Words and Actions Follow the Law"
23 Practical Project (5): Create a project similar to LensaAl
Course Outline of "Core Technology and Practical Application of AI Painting"
Opening words | How to achieve the freedom of painting models with the explosion of AI technology?
Leading article
|Get a sneak peek, AI painting portfolio
Warm up article: Initial experience of AI painting
01 WebUl: N Large Drawing Functions of Free AI Drawing Toolbox
02 Prompt usage tips: How to more accurately control painting style and content?
03 Advanced Application: Exploring the Techniques of Creating Images and Creating Communities
04 Practical Project (1): Creating Your Own Manga Story with LoRA
Basic article: Unveiling the principles of AI painting
05 Old painter GAN: Are you born with defects or are you not skilled in learning?
06 Disruptor Diffusion Model: Intuitively Understanding Additive and Denoising
07 AIGC's Core Magic: Understanding Transformer
08 Clever Use of Neural Networks: How to Use UNet to Predict Noise?
09 Sampler: Turtle and Rabbit Race, How to Choose a Better and Faster Sampler?
10 CLIP: How to make AI painting models listen to you?
VAE series: How to compress images for GPU processing?
11 Practical Projects (2): Hands on Training of Your Own Diffusion Model
12 Q&A Classroom 1 | Hot Topic Q&A&Answers to the First Two Chapters' Reflection Questions
Live replay | Development of AI painting and practical training of LoRA model
Advanced article: From DALL-E 2 to Stable Diffusion
13 Front Wave DALL-E 2: Help You Magic Change Classic Paintings
14 Challenger Imagen: Why did they come from behind?
Stable Diffusion under a Microscope (Part 1): The Key to Stunning Effects
Technology Unveiled
Stable Diffusion under Microscope 16
（2） From Image Variants to The Return of the Condor Heroes
Midjourney: Guess the Technology Behind Annual Income of $100 Million Together
programme
Comprehensive Exercise: AI Painting Master Development Plan
18 DreamBooth and LoRA: Low cost implementation of IP exclusive AI painting models
19 Practical Project (3): Build your own LoRA model by hand
20 ControlNet: Peak at debut, unmatched in composition control
21 Practical Project (4): Coloring Your Ideas with ControlNet
22 AI Image Editing: How to Use Prompt2Prompt to Achieve "Words and Actions Follow the Law"
23 Practical Project (5): Create a project similar to LensaAl
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
itlife365.com 推荐 更多学习内容: http://gk.link/a/12uFd
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